Java tutorial
/* * Copyright (c) [2016-2017] [University of Minnesota] * * Permission is hereby granted, free of charge, to any person obtaining a copy * of this software and associated documentation files (the "Software"), to deal * in the Software without restriction, including without limitation the rights * to use, copy, modify, merge, publish, distribute, sublicense, and/or sell * copies of the Software, and to permit persons to whom the Software is * furnished to do so, subject to the following conditions: * * The above copyright notice and this permission notice shall be included in all * copies or substantial portions of the Software. * * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE * SOFTWARE. */ package org.grouplens.samantha.modeler.featurizer; import com.fasterxml.jackson.databind.JsonNode; import org.apache.commons.math3.analysis.UnivariateFunction; import org.apache.commons.math3.analysis.function.Log10; import org.grouplens.samantha.modeler.space.IndexSpace; import java.util.ArrayList; import java.util.HashMap; import java.util.List; import java.util.Map; public class LogarithmicExtractor implements FeatureExtractor { private static final long serialVersionUID = 1L; private final String indexName; private final String attrName; private final String feaName; public LogarithmicExtractor(String indexName, String attrName, String feaName) { this.attrName = attrName; this.feaName = feaName; this.indexName = indexName; } public Map<String, List<Feature>> extract(JsonNode entity, boolean update, IndexSpace indexSpace) { Map<String, List<Feature>> feaMap = new HashMap<>(); if (entity.has(attrName)) { List<Feature> feaList = new ArrayList<>(); double val = entity.get(attrName).asDouble(); UnivariateFunction log10 = new Log10(); FeatureExtractorUtilities.getOrSetIndexSpaceToFeaturize(feaList, update, indexSpace, indexName, attrName, log10.value(val + 1.0)); feaMap.put(feaName, feaList); } return feaMap; } }